Package kieker.analysis.generic.clustering.mtree

Class TrimmedAlgorithm<T>

java.lang.Object
kieker.analysis.generic.clustering.mtree.TrimmedAlgorithm<T>
Type Parameters:
T - the type of the Clustered Elements
public class TrimmedAlgorithm<T>
extends java.lang.Object
An implementation of the trimmed algorithm. The algorithm is proposed in the paper "A Sub-Quadratic Exact Medoid Algorithm". It seems to try to find the model which has the smallest distance to all other models.
Since:
2.0.0
Author:
Lars Jürgensen

  • Constructor Summary

    Constructors 
    Constructor Description
    TrimmedAlgorithm​(T[] models, IDistanceFunction<T> distanceFunction)  

  • Method Summary

    Modifier and Type Method Description
    T calculate()  

    Methods inherited from class java.lang.Object

    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait